Compared RGB Methods Towards Efficient Money Detector for Blind People
Keywords:
RGB, Breakdown, If Then Rules, Decision three, Blind
Abstract
Limitations of profound visual impairment distinguishing each nominal number of banknotes are often used by people with bad intentions to take advantage of that basis, like money fraud. Due to this reason, the blind people need to be helped to recognize their surroundings by developing assistive technology that is advanced for them. This study aims to build an efficient design of a money detector by comparing three RGB methods: range breakdown, If-Then Rules, and decision tree to recognize the nominal of money. The sample used in this experiment is rupiah banknotes for the 2016 and 2022 issuances. The device is built with a TCS3200 colour sensor and designed in a real-time platform. It has been found that the highest average percentage accuracy was achieved by the breakdown range method with 100% (2016 sample) and 90% (2022 sample). This device also successfully produced a notification sound from a speaker that mentions the detected nominal value. This research could be used as a reference to improve assistive technology for blind people.
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References
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[14] S. Anggraini*, Herdianto, and M. R. Syahputra, “Design and Development Detection Authenticity And Nominal Rupiah Currency For Tunanetra Persons,” Universitas Pembangunan Panca Budi, 2019.
[15] A. Pujianto et al., “Identifikasi Nominal Uang Kertas Untuk Tuna,” vol. 2, no. 2, pp. 1–7, 2020.
[16] R. Albar and A. Darmawan, “Alat Deteksi Nominal Uang Kertas Rupiah \& Dollar Bagi Penyandang Tunanetra Berbsasis Arduino Uno,” J. Informatics …, vol. 7, no. 1, pp. 46–55, 2021.
[17] R. M. Rahman and F. R. Fazle, “Using and comparing different decision tree classification techniques for mining ICDDR,B Hospital Surveillance data,” Expert Syst. Appl., vol. 38, no. 9, pp. 11421–11436, 2011.
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Published
2024-01-23
How to Cite
[1]
M. Fadilah, Y. Z. Maulana, and M. YUSRO, “Compared RGB Methods Towards Efficient Money Detector for Blind People”, Indones.J.electronic.electromed.med.inf, vol. 6, no. 1, pp. 1-9, Jan. 2024.
Section
Research Article
Copyright (c) 2024 Maulina Fadilah, Yulian Zetta Maulana, MUHAMMAD YUSRO
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